SYSTEM ANALYZER

Rate My PC: Intel Core i3-14100 + NVIDIA RTX 4000 SFF Ada Generation

Get a comprehensive performance analysis of your gaming rig with detailed benchmarks, bottleneck detection, and upgrade recommendations

Build Configuration

Select your components

PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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91 Score

Top 9% Ranking

91 / 100

ULTIMATE READY

Apex Performer

Top 9% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio

Well Balanced

CPU

84%

GPU

99%

PROCESSOR

Intel Core i3-14100

18,318 Benchmark Score

Top 16% Market Ranking

View Full Specs →

GRAPHICS CARD

NVIDIA RTX 4000 SFF Ada Generation

117,088 Benchmark Score

Top 1% Market Ranking

View Full Specs →

Market Position

How your build compares to others

Budget

0-30

Mid-Range

30-60

High-End

60-85

Enthusiast

85-100

Your Build

Game Performance Benchmarks

Real-world 4K FPS in popular titles

View All Games →

Performance Insights

Tips to maximize your system

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

Compatible Games See what you can play Compare CPUs Find upgrades Compare GPUs Find upgrades

Performance Tiers Explained

90-100

Ultimate

4K Ultra gaming, VR ready, ray tracing enabled, professional workloads

4K 60+ FPS VR Ready

70-89

High-End

1440p Ultra or 4K High settings, excellent for modern AAA titles

1440p Ultra 4K High

50-69

Mid-Range

1080p Ultra or 1440p Medium, great value for most gamers

1080p Ultra 1440p Med

30-49

Entry Level

1080p Medium settings, suitable for eSports and older titles

1080p Med eSports

0-29

Legacy

Basic gaming, older titles, consider upgrading for modern games

720p-1080p Low Older Games

The Intel Core i3-14100 paired with the NVIDIA RTX 4000 SFF Ada Generation is a desktop build that combines a value-oriented 4-core processor with a workstation-class GPU. The data shows a stark contrast in performance tiers: the CPU sits at the 72nd percentile among all processors, while the GPU commands a 95th percentile position among all graphics cards. This pairing yields a combined percentile of 84, indicating that the GPU is the dominant performance driver in this system. The following analysis breaks down the components, their measured capabilities, and the realistic expectations for this configuration.

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA RTX 4000 SFF Ada Generation is built on the Ada Lovelace architecture using TSMC's 5 nm process, packing 35,800 million transistors on a 294 mm² die. The GPU features 6,144 shading units, 192 texture mapping units, and 64 raster operation processors. Its memory subsystem is substantial: 20 GB of GDDR6 across a 160-bit bus delivers 280.0 GB/s of bandwidth, with memory clocked at 1750 MHz (14 Gbps effective). The core clocks are set at a 720 MHz base and 1560 MHz boost.

For acceleration, the RTX 4000 SFF Ada Generation includes 48 RT cores and 192 tensor cores. These are the dedicated hardware blocks for ray tracing and AI workloads, respectively. The FP32 throughput is 19.17 TFLOPS, with FP16 achieving the same 19.17 TFLOPS (1:1 ratio). Pixel fill rate is rated at 99.84 GPixel/s, and texture rate at 299.5 GTexel/s.

Benchmark results show this GPU scoring 124,812 in Geekbench OpenCL and 109,364 in Geekbench Vulkan. The average benchmark score is 117,088, placing it in the 95th percentile of all GPUs. Compared to its nearest rivals, the data shows it is 1.6% behind the AMD Radeon PRO W7700, but 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB and 2.8% ahead of the NVIDIA RTX A5500 Mobile. The closest competitor is the NVIDIA GB10 with a deltaPct of -0.3%, meaning the RTX 4000 SFF is essentially tied with it.

For rendering workloads, the combination of 20 GB VRAM and 280.0 GB/s bandwidth is significant. This memory capacity allows for large scenes and high-resolution textures to reside entirely on the GPU, reducing the need for data transfers over the PCIe bus. The 48 RT cores and 192 tensor cores provide dedicated acceleration for ray-traced renders and AI denoising. The Vulkan score of 109,364 indicates strong performance in cross-platform graphics APIs, while the OpenCL score of 124,812 suggests robust compute capability for general-purpose GPU workloads. The 70 W TDP and dual-slot design with no power connectors suggest this is a power-efficient workstation card, which the benchmark scores confirm is capable of professional rendering tasks.

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The platform is built around the Intel Socket 1700, which supports the Core 14th Gen series. The Intel Core i3-14100 uses the Raptor Lake architecture (specifically Raptor Lake-R) and is manufactured on Intel's 10 nm process with a die size of 163 mm². Memory support includes both DDR4 and DDR5, running in dual-channel mode. The CPU provides PCIe Gen 5 with 16 lanes (CPU only), while the GPU uses a PCIe 4.0 x16 bus interface, which is fully compatible.

The CPU has a TDP of 60 W, and the GPU has a TDP of 70 W. The suggested PSU for this combination is 250 W. This leaves considerable headroom for a system with this CPU and GPU. The total component power draw is modest, so a 250 W power supply is sufficient according to the data. The GPU requires no power connectors, drawing all its power from the PCIe slot.

For a sensible next upgrade, the data indicates that the CPU is the limiting factor. The GPU's 95th percentile performance far exceeds the CPU's 72nd percentile. Therefore, upgrading the processor to a higher-core-count model on the same Socket 1700 platform would be the logical step. The memory support for both DDR4 and DDR5 means the user can choose their memory technology based on budget and motherboard selection. The PCIe Gen 5 support from the CPU provides future-proofing for storage devices, even though the GPU currently uses PCIe 4.0. The 250 W suggested PSU indicates that power delivery is not a constraint, so a more powerful CPU could be installed without necessarily requiring a PSU upgrade, depending on the specific model chosen.

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i3-14100 is a 4-core, 8-thread processor based on the Raptor Lake architecture. It has a base clock of 3.50 GHz and a boost clock of 4.70 GHz. The cache hierarchy includes 80 KB of L1 per core, 1.25 MB of L2 per core, and 12 MB of shared L3 cache. It supports ECC memory, which is notable for workstation reliability. The integrated graphics are UHD Graphics 730. The CPU was released on 2024-01-07 with a launch MSRP of $134. It is not multiplier-unlocked, meaning overclocking is restricted.

Benchmark scores reveal a strong single-core performer relative to its multi-core capability. The Cinebench R23 scores are 12,820 multi-core and 1,809 single-core. Geekbench results show 7,231 multi-core and 2,133 single-core. PassMark scores include 15,095 for multithread, 3,759 for single-thread, 45,329 for integer math, and 35,266 for floating point math. Other PassMark results include 17,397 for random string sorting, 11,865 for extended instructions, 8,838 for data encryption, and 174,115 for data compression. The average benchmark score is 18,318, placing it in the 72nd percentile of all CPUs.

The nearest rival data shows this CPU is nearly identical to the Intel Core 3 305 with a deltaPct of 0.1%, meaning the i3-14100 is 0.1% ahead. It is 0.1% behind the Intel Core 5 330 and 0.3% behind both the Intel Core 7 360 and the Intel Core i3-13100. These negligible differences indicate that the i3-14100 sits in a very tight performance cluster with its direct competitors.

For real workloads, the 4-core/8-thread configuration handles single-threaded tasks exceptionally well, as evidenced by the 1,809 Cinebench R23 single-core score. This translates to snappy application responsiveness. Multi-threaded workloads, however, are constrained by the limited core count. The 12,820 Cinebench R23 multi-core score is respectable for a 4-core part but will be outclassed by higher-core-count processors. The data compression score of 174,115 suggests strong performance in archiving tasks, while the encryption score of 8,838 indicates moderate throughput for security-related operations. The floating point math score of 35,266 is solid for a quad-core chip, supporting productivity applications that rely on numerical computation.

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

No measured FPS rows exist for this exact combination — the FACT PACK contains no measuredFps data. Therefore, all FPS discussion is estimated from the benchmark scores and should be treated as estimates rather than measured results.

The GPU's 95th percentile performance and its 124,812 Geekbench OpenCL score indicate strong raw compute capability. The CPU's 72nd percentile and 1,809 Cinebench R23 single-core score suggest adequate per-core performance for gaming. However, the 4-core/8-thread CPU may be a constraint in modern games that utilize more threads.

Based on the benchmark data, this system should be capable of high-refresh-rate gaming at 1080p in most titles. The GPU's 20 GB VRAM and 280.0 GB/s bandwidth provide ample memory for high-resolution textures. The CPU's single-core score is sufficient for maintaining high frame rates in games that are not heavily multi-threaded. However, in CPU-intensive games or scenarios with many simultaneous entities, the 4-core CPU may cause frame rate dips.

At 1440p, the GPU's performance becomes more relevant, and the system should still deliver playable frame rates in most titles. At 4K, the GPU's 95th percentile performance suggests it can handle demanding resolutions, but the CPU might become a bottleneck in certain situations. The Vulkan score of 109,364 indicates good performance in Vulkan-based games, which often scale well across multiple threads. The lack of measured FPS data means these expectations are qualitative, derived from the component scores and percentiles rather than direct game testing.

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The data shows a clear imbalance between the CPU and GPU. The CPU's 72nd percentile versus the GPU's 95th percentile indicates that the GPU is significantly more powerful relative to its peers than the CPU. This disparity suggests the CPU will be the primary bottleneck in most workloads, particularly those that require high frame rates or CPU-intensive calculations.

In gaming, the CPU's 4 cores and 8 threads may limit frame rates in scenarios where the game logic, physics, or AI processing demands more threads. The single-core score of 1,809 in Cinebench R23 is good, but the multi-core score of 12,820 is modest. As resolution increases, the GPU becomes more heavily utilized, and the CPU bottleneck may be less pronounced. At 4K, the GPU's workload increases, potentially allowing it to keep up with the CPU's output. Conversely, at 1080p, the CPU is more likely to be the limiting factor, as it must feed frames to the GPU at a faster rate.

In compute workloads, the GPU's 19.17 TFLOPS of FP32 performance and 20 GB VRAM clearly dominate. Rendering, video editing, and machine learning tasks will be GPU-bound. The CPU's role as a coordinator for these tasks is secondary. However, for tasks like software compilation or data compression, the CPU's 4 cores will be the limiting factor. The PassMark data compression score of 174,115 is respectable, but a higher-core-count CPU would improve these workloads.

The FPS scaling evidence, while not measured, can be inferred from the percentile gap. The GPU's 95th percentile suggests it can push very high frame rates at lower resolutions, but the CPU's 72nd percentile will cap the maximum FPS in many scenarios. This creates a system where the GPU has headroom that the CPU cannot fill, particularly in esports-style games that rely on high CPU clock speeds and single-thread performance.

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

This build targets users who prioritize GPU-accelerated workloads over CPU-intensive multitasking. The 95th percentile GPU makes it suitable for professionals in 3D rendering, video editing, and AI inference. The 20 GB VRAM is particularly well-suited for large datasets and high-resolution textures, which are common in architectural visualization, product design, and scientific computing.

For gamers, this system is best suited for 1440p or 4K gaming, where the GPU's performance can be fully utilized. The 4-core CPU may be a limitation at 1080p for high-refresh-rate gaming, but at higher resolutions, the GPU becomes the dominant factor. Content creators working with video editing software that leverages CUDA acceleration will benefit from the GPU's 124,812 OpenCL score, though the CPU's 4 cores may slow down timeline scrubbing or multi-track rendering.

Software developers who work on GPU-compute projects, such as machine learning or data science, will find the RTX 4000 SFF Ada Generation's tensor cores useful. The CPU's ECC memory support adds reliability for long-running compute tasks. Students in engineering or computer science programs that require GPU acceleration for coursework would benefit from this system's workstation-class GPU.

Small business workstations that handle tasks like CAD, graphic design, or video production would see strong performance from the GPU. The 70 W TDP and 250 W suggested PSU keep power consumption low, which is advantageous for office environments. However, the CPU's 4 cores may struggle with heavy multitasking, such as running multiple virtual machines or compiling large codebases. The data suggests this build is a GPU-first system, where the CPU is an adequate but not exceptional companion.

FAQ

Q: What is the combined performance percentile of this CPU and GPU pairing?

A: The combined percentile for this build is 84, indicating it performs better than 84% of all CPU+GPU combinations in the database.

Q: How does the Intel Core i3-14100 compare to its nearest rival, the Intel Core 3 305?

A: The Core i3-14100 has an average benchmark score of 18,318, which is 0.1% higher than the Intel Core 3 305's score of 18,302.

Q: What is the memory bandwidth of the RTX 4000 SFF Ada Generation?

A: The GPU has a memory bandwidth of 280.0 GB/s, delivered via 20 GB of GDDR6 memory on a 160-bit bus.

Q: Does this system require a dedicated power connector for the GPU?

A: No, the RTX 4000 SFF Ada Generation has no power connectors and draws all its power from the PCIe slot. The suggested PSU is 250 W.

Q: What is the CPU's socket and what memory types does it support?

A: The Intel Core i3-14100 uses the Intel Socket 1700 and supports both DDR4 and DDR5 memory in dual-channel mode.

Q: How does the GPU's Geekbench Vulkan score compare to its OpenCL score?

A: The GPU scores 109,364 in Geekbench Vulkan and 124,812 in Geekbench OpenCL, indicating stronger performance in the OpenCL compute API.

Q: Is the CPU multiplier unlocked for overclocking?

A: No, the Intel Core i3-14100 has a locked multiplier, so overclocking is not supported.

Build Overview

This is a desktop build that pairs the Intel Core i3-14100, a Raptor Lake-based 4-core/8-thread processor, with the NVIDIA RTX 4000 SFF Ada Generation, a workstation GPU based on the Ada Lovelace architecture. The CPU sits at the 72nd percentile among all CPUs, while the GPU sits at the 95th percentile among all GPUs. The combined percentile is 84, placing this build in the upper echelon of overall performance.

The build class is desktop, and the data indicates a clear performance hierarchy: the GPU is the star component, while the CPU provides adequate supporting performance. The GPU's 20 GB VRAM and 19.17 TFLOPS of FP32 performance make it a formidable workstation tool, while the CPU's 4 cores limit its multi-threaded capabilities. The overall tier of this build is high, driven almost entirely by the GPU's exceptional benchmark scores. The CPU's 72nd percentile is respectable but not outstanding, creating a system that excels in GPU-bound workloads but is average in CPU-bound tasks.

Benchmark Performance

The CPU's average benchmark score is 18,318, placing it in the 72nd percentile of all CPUs. Its Cinebench R23 scores are 12,820 multi-core and 1,809 single-core. The Geekbench scores are 7,231 multi-core and 2,133 single-core. PassMark multithread score is 15,095, and single-thread is 3,759.

The GPU's average benchmark score is 117,088, placing it in the 95th percentile of all GPUs. Its Geekbench OpenCL score is 124,812, and its Vulkan score is 109,364. The GPU is 1.6% behind the AMD Radeon PRO W7700 but 2.4% ahead of the NVIDIA Tesla V100 SXM2 16 GB and 2.8% ahead of the NVIDIA RTX A5500 Mobile.

The combined picture shows a system where the GPU's 95th percentile performance dominates the CPU's 72nd percentile. The gap between the two components' percentiles is 23 points, indicating a significant imbalance. In GPU-bound workloads, this system will perform exceptionally well. In CPU-bound workloads, it will perform at a level consistent with other 4-core processors. The combined percentile of 84 reflects the overall system capability, weighted toward the GPU's strong showing. The data does not include measured FPS for this exact combination, so all game performance estimates are based solely on these benchmark scores.

Usage Scenarios

High-refresh gaming: At 1080p and 1440p, the GPU's 95th percentile performance suggests it can drive high frame rates. The CPU's 1,809 Cinebench R23 single-core score provides sufficient per-core speed for most games, though the 4-core limit may cap frame rates in CPU-heavy titles. At 4K, the GPU becomes the primary factor, and the system is better balanced for this resolution.

Streaming: The GPU's NVENC encoder (implied by the Ada Lovelace architecture) and 20 GB VRAM can handle encoding and game rendering simultaneously. The CPU's 8 threads may be sufficient for streaming software, but the 4 cores could struggle with simultaneous game, stream, and chat applications. The GPU's tensor cores can assist with AI-based encoding features.

Video editing: The GPU's 124,812 OpenCL score and 20 GB VRAM are well-suited for video editing software that supports GPU acceleration. The CPU's 4 cores may slow down export times, but the GPU can offload many effects and color grading tasks. The 280.0 GB/s bandwidth helps with high-resolution media playback.

3D rendering: This is the strongest scenario. The GPU's 48 RT cores and 192 tensor cores accelerate ray-traced renders, and the 19.17 TFLOPS of FP32 performance handles compute-heavy tasks. The 20 GB VRAM allows large scenes to fit in memory. The CPU's 12 MB L3 cache helps with scene management, but the 4 cores are not a major factor in GPU-based rendering.

Software development: The CPU's 7,231 Geekbench multi-core score and 45,329 PassMark integer math score support code compilation. The GPU's compute capabilities are useful for developers working on GPU-accelerated applications. The ECC memory support adds reliability for long compile sessions or running virtual machines.

Student and office work: The CPU's 3,759 PassMark single-thread score provides responsive performance for everyday tasks. The integrated UHD Graphics 730 can handle basic display output, while the discrete GPU is available for more demanding workloads. The 250 W suggested PSU keeps the system energy-efficient, which is beneficial for shared office environments. However, the 4-core CPU may be limiting for students running multiple research applications simultaneously.

Rate My PC: Intel Core i3-14100 + NVIDIA RTX 4000 SFF Ada Generation

Apex Performer

System Balance Analysis

Intel Core i3-14100

NVIDIA RTX 4000 SFF Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Optimal Performance

4K Gaming Ready

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

Who Should Build It — target users and industries (gamers at specific resolutions, content creators, developers, students, small business workstations) tied strictly to the measured performance

FAQ

Build Overview

Benchmark Performance

Usage Scenarios

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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